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- 专题001: HKUDS x LLMQuant 六项目对比 - LightRAG / Vibe-Trading / AI-Trader / NanoBot / Skills / Data MCP
- HKUDS052: HKUDS Quant 系列专题总结 - Vibe-Trading / AI-Trader / FutureShow / UrbanGPT 对比
- HKUDS051: HKUDS RAG 系列专题总结 - LightRAG / RAG-Anything / MiniRAG / VideoRAG 对比
- HKUDS050: Remaining Repo Map - 未完成项目总览、分类与后续学习路线
- PENGYI_HARNESS_MAP000: Harness 总览 - Agent / Research / Quant / Tool / Memory / Product 六类 Harness
- HKUDS049: UrbanGPT 作为 Spatio-Temporal LLM、Urban Forecasting Foundation Model 与 Quant OS 时空预测层
- HKUDS048: MGP 作为 Governed Agent Memory Protocol、Policy/Audit Layer 与 Research OS Memory Governance Layer
- HKUDS047: SepLLM 作为 Long-Context Compression、KV Cache Efficiency 与 Research OS Memory Compression Layer
- HKUDS046: LightReasoner 作为 Reasoning Efficiency、Expert-Amateur Teaching 与 Research OS Skill Distillation Layer
- HKUDS045: CatchMe 作为 Personal Digital Footprint、Agent Memory Layer 与 Research OS Context Engine
- HKUDS044: ViMax 作为 Agentic Video Generation、AI Creative Studio 与 Research OS Multimodal Production Layer
- HKUDS043: HKUDS 学习总览与 000-042 项目作用清单
- HKUDS042: Agent Product Phase Review 作为 Pengyi Research OS Agent Product Stack 阶段复盘
- HKUDS041: Auto-Deep-Research / DeepResearch-Eval Revisited 作为 Deep Research Product Loop 与 AI Scientist Evaluation Layer
- HKUDS040: VideoAgent 作为 Agentic Video Workflow、Meeting Intelligence 与 Multimodal Production OS
- HKUDS039: UpSkill Revisited 作为 Agent Skill Growth Layer 与 Research OS 复利系统
- HKUDS038: MoChat 作为 Agent-Native IM、Networking Wingman 与 AI Organization Interface
- HKUDS037: OpenPhone 作为 AI Phone Agent、现实 App 操作入口与 Mobile Research Agent
- HKUDS036: Litewrite 作为 AI Research Writing Workspace 与 Vibe Writing Product
- HKUDS035: FastAgent 作为 DeepResearch + Computer Use 的高速 Agent Execution Engine
- HKUDS034: ClawWork 作为 AI Coworker 与 Economic Accountability Layer
- HKUDS033: ClawTeam 作为 Agent Swarm Intelligence 与 AI Organization Layer
- HKUDS031: KGRec 作为 Knowledge Graph Self-Supervised Rationalization 与 KG-Grounded Recommendation Layer
- HKUDS030: AutoCF 作为 Automated Self-Supervised Collaborative Filtering 与 Recommendation Backbone Layer
- HKUDS029: XRec 作为 Explainable Recommendation 与 Collaborative-Signal-to-Language Layer
- HKUDS028: RecLM 作为 Recommendation Instruction Tuning 与 Profile-Augmented Ranking Layer
- HKUDS027: HiGPT 作为 Heterogeneous Graph Language Model 与 Structured Multimodal Layer
- HKUDS026: GraphGPT 作为 Graph Instruction Tuning 与 Graph-Language Alignment Layer
- HKUDS025: OpenGraph 作为 Open Graph Foundation Model 与 Zero-Shot Graph Generalization Layer
- HKUDS024: GraphAgent 作为 Agentic Graph Language Assistant 与 Graph Reasoning Layer
- HKUDS023: OpenSpace 作为 Self-Evolving Agent Workspace 与 Skill Economy Layer
- HKUDS022: FastCode 作为 Code Intelligence Acceleration 与 Repo-Level Research Engineering Layer
- HKUDS021: VideoRAG 作为 Extreme Long-Context Video Memory 与 Multimodal Knowledge Ingestion Layer
- HKUDS020: FutureShow 作为 Forecasting Agent Benchmark 与 Quant Judgment Layer
- HKUDS019: Paper2Slides 作为 Research-to-Presentation Artifact Generation Layer
- HKUDS018: MiniRAG 作为 Lightweight Graph RAG 与 On-Device Knowledge Layer
- HKUDS017: AnyTool 作为 Universal Tool-Use Layer 与 Capability Routing Layer
- HKUDS00000: StudyMap3 - HKUDS020 之后的八条后续路线